The faculty who specialize in biostatistics research aim to: 1) conduct research in statistical methodology for the design and analysis of clinical, epidemiological and basic science studies; and 2) conduct research into biologically based mathematical models for pathogenesis. SCHARP, the Statistical Center for HIV/AIDS Research and Prevention, is a program housed within VIDD that provides services such as data collection, analysis and clinical trial management to collaborators worldwide. This program’s unique services have had far-reaching impacts on a number of HIV vaccine development trials and have played an integral role in these ground-breaking studies.
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Mathematical modeling of virus and immune system dynamics. Population/within-host dynamics approach to quantify HIV-1 infection and treatment efficacy (ordinary differential equations, nonlinear mixed effects models).
Research interests include mathematical modeling of infectious diseases, evaluating impact of interventions for HIV prevention, mathematical biology (population dynamics, epidemic modeling) and dynamical systems (ODE, PDE, and impulsive systems)
Statistical and computational methods for bioinformatics applications, statistical modeling for genome sequence analysis and statistical modeling frameworks. The interface between computer science, statistics, and molecular biologyand such as development of new informatics methods in genomics and post-genomics
Computational and statistical methods development for high-throughput, high-content biological data.
Modeling and integration of data from high throughput assays for biomarker discovery, clinical outcome prediction and disease classification.
Current studies include development of methods for T-cell based sieve analysis, quantification of vaccine induced T cell responses, systems biology of influenza and time-dependent correlates analysis of HIV efficacy trial.
Research focus includes vaccine clinical trials, the design and analysis of Phase I/II trials, for evaluating vaccine effects on immune responses; the design and analysis of Phase 2b/III trials, for evaluating vaccine efficacy, immune correlates, sieve analysis, and post-infection vaccine effects; general biostatistical methods research, such as survival analysis, causal inference, and evaluation of surrogate endpoints
Developing methods and tools for high-throughput, high-dimensional experiments with applications in vaccine research, immunology and immunotherapy; flow cytometry, peptide microarrays, next generation sequencing; Bayesian inference and computation and statistical computing
Design, conduct, monitoring, and analysis of multicenter randomized clinical trials and comparative effectiveness studies, measuring and improving the effectiveness of informed consent in clinical research; improving the quality and efficiency of clinical trial data management; clinical research trials for the prevention or treatment of HIV / AIDS and vaccine clinical trials
Research focus included the design and evaluation of vaccine field trials; modeling infectious disease dynamics and strategies for mitigation and control; causal inference in infectious diseases; and evaluating surrogates of protection.
Research focus includes statistical methods for bioassays (e.g., flow cytometry, sequencing); dynamic modeling of biological systems (e.g., multi-type cell populations, B-cell repertoire); nonparametric methods for supervised and unsupervised learning; stochastic processes (e.g., branching processes); algorithms for scalable data analysis.
Design and analysis of vaccine efficacy trials, genotype-specific vaccine efficacy-based sieve analysis,immune correlates of vaccine protection, analysis of vaccine-induced immune response durability and survival analysis
Interest in describing the quantitative and dynamical features of human pathogens and immune responses. Most of work to-date is on the pathogenesis of HSV-2 infection but also interested in applying models to optimize viral eradication startegies, and to use models to capture kinetic features of the human microbiome.
Epidemiologic studies of infectious disease transmission, vaccine studies and the development of novel statistical methods and designs for studies of infectious disease transmission. Efficacy and effectiveness assessments of control and prevention strategies for infectious diseases of import to global health, including influenza, cholera, dengue, and tuberculosis
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